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ORCIDKrishna P. Gummadi
P. Krishna Gummadi
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- affiliation: Max Planck Institute for Software Systems
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2020 – today
- 2024
[j27]Till Speicher, Vedant Nanda, Krishna P. Gummadi:
Understanding the Role of Invariance in Transfer Learning. Trans. Mach. Learn. Res. 2024 (2024)- [c137]Savvas Zannettou
, Olivia Nemes Nemeth, Oshrat Ayalon, Angelica Goetzen, Krishna P. Gummadi, Elissa M. Redmiles, Franziska Roesner:
Analyzing User Engagement with TikTok's Short Format Video Recommendations using Data Donations. CHI 2024: 731:1-731:16 - [c136]Sepehr Mousavi, Krishna P. Gummadi, Savvas Zannettou:
Auditing Algorithmic Explanations of Social Media Feeds: A Case Study of TikTok Video Explanations. ICWSM 2024: 1110-1122 - [c135]Cai Yang, Sepehr Mousavi, Abhisek Dash, Krishna P. Gummadi, Ingmar Weber:
Coupling GDPR Data Donation and Crowdsourced User Survey: A Case Study on TikTok Addiction. WebSci (Companion) 2024: 51-52 - [c134]Karan Vombatkere, Sepehr Mousavi, Savvas Zannettou, Franziska Roesner, Krishna P. Gummadi:
TikTok and the Art of Personalization: Investigating Exploration and Exploitation on Social Media Feeds. WWW 2024: 3789-3797 - [i70]Karan Vombatkere, Sepehr Mousavi, Savvas Zannettou, Franziska Roesner, Krishna P. Gummadi:
TikTok and the Art of Personalization: Investigating Exploration and Exploitation on Social Media Feeds. CoRR abs/2403.12410 (2024) - [i69]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Jens Frankenreiter, Stefan Bechtold, Krishna P. Gummadi:
Antitrust, Amazon, and Algorithmic Auditing. CoRR abs/2403.18623 (2024) - [i68]Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi:
Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction. CoRR abs/2404.12957 (2024) - [i67]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon. CoRR abs/2407.01732 (2024) - [i66]Till Speicher, Vedant Nanda, Krishna P. Gummadi:
Understanding the Role of Invariance in Transfer Learning. CoRR abs/2407.04325 (2024) - [i65]Nina Grgic-Hlaca, Junaid Ali, Krishna P. Gummadi, Jennifer Wortman Vaughan:
(De)Noise: Moderating the Inconsistency Between Human Decision-Makers. CoRR abs/2407.11225 (2024) - [i64]Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe, Stefan Bechtold, Christoph Engel, Jens Frankenreiter, Krishna P. Gummadi, Moritz Hardt, Michael Livermore:
Lawma: The Power of Specialization for Legal Tasks. CoRR abs/2407.16615 (2024) - [i63]Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee, Abhijnan Chakraborty, Krishna P. Gummadi:
Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace. CoRR abs/2407.19099 (2024) - [i62]Till Speicher, Mohammad Aflah Khan, Qinyuan Wu, Vedant Nanda, Soumi Das, Bishwamittra Ghosh, Krishna P. Gummadi, Evimaria Terzi:
Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications. CoRR abs/2407.19262 (2024) - 2023
- [j26]Preethi Lahoti, P. Krishna Gummadi, Gerhard Weikum:
Responsible model deployment via model-agnostic uncertainty learning. Mach. Learn. 112(3): 939-970 (2023) - [j25]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms. IEEE Trans. Comput. Soc. Syst. 10(3): 1301-1313 (2023) - [j24]Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla:
On the Fairness of Time-Critical Influence Maximization in Social Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2875-2886 (2023) - [c133]Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller:
Do Invariances in Deep Neural Networks Align with Human Perception? AAAI 2023: 9277-9285 - [c132]Johnnatan Messias, Vabuk Pahari, Balakrishnan Chandrasekaran, Krishna P. Gummadi, Patrick Loiseau:
Dissecting Bitcoin and Ethereum Transactions: On the Lack of Transaction Contention and Prioritization Transparency in Blockchains. FC 2023: 221-240 - [c131]Chen Ling, Krishna P. Gummadi, Savvas Zannettou:
"Learn the Facts about COVID-19": Analyzing the Use of Warning Labels on TikTok Videos. ICWSM 2023: 554-565 - [c130]Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Soheil Feizi, Adrian Weller:
Diffused Redundancy in Pre-trained Representations. NeurIPS 2023 - [i61]Savvas Zannettou, Olivia Nemes Nemeth, Oshrat Ayalon, Angelica Goetzen, Krishna P. Gummadi, Elissa M. Redmiles, Franziska Roesner:
Leveraging Rights of Data Subjects for Social Media Analysis: Studying TikTok via Data Donations. CoRR abs/2301.04945 (2023) - [i60]Johnnatan Messias, Vabuk Pahari, Balakrishnan Chandrasekaran, Krishna P. Gummadi, Patrick Loiseau:
Dissecting Bitcoin and Ethereum Transactions: On the Lack of Transaction Contention and Prioritization Transparency in Blockchains. CoRR abs/2302.06962 (2023) - [i59]Johnnatan Messias, Vabuk Pahari, Balakrishnan Chandrasekaran, Krishna P. Gummadi, Patrick Loiseau:
Understanding Blockchain Governance: Analyzing Decentralized Voting to Amend DeFi Smart Contracts. CoRR abs/2305.17655 (2023) - [i58]Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi:
Pointwise Representational Similarity. CoRR abs/2305.19294 (2023) - [i57]Vedant Nanda, Till Speicher, John P. Dickerson, Soheil Feizi, Krishna P. Gummadi, Adrian Weller:
Diffused Redundancy in Pre-trained Representations. CoRR abs/2306.00183 (2023) - 2022
- [j23]Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
On fair selection in the presence of implicit and differential variance. Artif. Intell. 302: 103609 (2022) - [j22]Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Elissa M. Redmiles, Meeyoung Cha, Krishna P. Gummadi:
Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking. IEEE Trans. Comput. Soc. Syst. 9(3): 839-850 (2022) - [j21]Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty:
Toward Fair Recommendation in Two-sided Platforms. ACM Trans. Web 16(2): 8:1-8:34 (2022) - [c129]Ahmad Khajehnejad, Moein Khajehnejad, Mahmoudreza Babaei, Krishna P. Gummadi, Adrian Weller, Baharan Mirzasoleiman:
CrossWalk: Fairness-Enhanced Node Representation Learning. AAAI 2022: 11963-11970 - [c128]Miriam Rateike, Ayan Majumdar, Olga Mineeva, Krishna P. Gummadi, Isabel Valera:
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making. FAccT 2022: 1421-1433 - [c127]Nina Grgic-Hlaca, Claude Castelluccia, Krishna P. Gummadi:
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making. HCOMP 2022: 74-88 - [c126]Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla:
On the Fairness of Time-Critical Influence Maximization in Social Networks (Extended Abstract). ICDE 2022: 1541-1542 - [c125]Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller:
Measuring Representational Robustness of Neural Networks Through Shared Invariances. ICML 2022: 16368-16382 - [c124]Gourab K. Patro, Prithwish Jana, Abhijnan Chakraborty, Krishna P. Gummadi, Niloy Ganguly:
Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction. WWW 2022: 2646-2656 - [c123]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. WWW 2022: 3695-3705 - [i56]Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty:
Towards Fair Recommendation in Two-Sided Platforms. CoRR abs/2201.01180 (2022) - [i55]Chen Ling, Krishna P. Gummadi, Savvas Zannettou:
"Learn the Facts About COVID-19": Analyzing the Use of Warning Labels on TikTok Videos. CoRR abs/2201.07726 (2022) - [i54]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. CoRR abs/2202.03934 (2022) - [i53]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms. CoRR abs/2204.00241 (2022) - [i52]Gourab K. Patro, Prithwish Jana, Abhijnan Chakraborty, Krishna P. Gummadi, Niloy Ganguly:
Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction. CoRR abs/2204.12062 (2022) - [i51]Miriam Rateike, Ayan Majumdar, Olga Mineeva, Krishna P. Gummadi, Isabel Valera:
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making. CoRR abs/2205.04790 (2022) - [i50]Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller:
Measuring Representational Robustness of Neural Networks Through Shared Invariances. CoRR abs/2206.11939 (2022) - [i49]Nina Grgic-Hlaca, Claude Castelluccia, Krishna P. Gummadi:
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making. CoRR abs/2209.03821 (2022) - 2021
- [c122]Junaid Ali, Preethi Lahoti, Krishna P. Gummadi:
Accounting for Model Uncertainty in Algorithmic Discrimination. AIES 2021: 336-345 - [c121]Michiel A. Bakker, Duy Patrick Tu, Krishna P. Gummadi, Alex 'Sandy' Pentland, Kush R. Varshney, Adrian Weller:
Beyond Reasonable Doubt: Improving Fairness in Budget-Constrained Decision Making using Confidence Thresholds. AIES 2021: 346-356 - [c120]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. FAccT 2021: 873-884 - [c119]Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum:
Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning. ICDM 2021: 1174-1179 - [c118]Johnnatan Messias, Mohamed Alzayat, Balakrishnan Chandrasekaran, Krishna P. Gummadi, Patrick Loiseau, Alan Mislove:
Selfish & opaque transaction ordering in the Bitcoin blockchain: the case for chain neutrality. Internet Measurement Conference 2021: 320-335 - [c117]Bashir Rastegarpanah, Krishna P. Gummadi, Mark Crovella:
Auditing Black-Box Prediction Models for Data Minimization Compliance. NeurIPS 2021: 20621-20632 - [c116]Nuno Mota, Negar Mohammadi, Palash Dey, Krishna P. Gummadi, Abhijnan Chakraborty:
Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding. WWW 2021: 646-657 - [i48]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. CoRR abs/2102.00141 (2021) - [i47]Ahmad Khajehnejad, Moein Khajehnejad, Mahmoudreza Babaei, Krishna P. Gummadi, Adrian Weller, Baharan Mirzasoleiman:
CrossWalk: Fairness-enhanced Node Representation Learning. CoRR abs/2105.02725 (2021) - [i46]Junaid Ali, Preethi Lahoti, Krishna P. Gummadi:
Accounting for Model Uncertainty in Algorithmic Discrimination. CoRR abs/2105.04249 (2021) - [i45]Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi:
Loss-Aversively Fair Classification. CoRR abs/2105.04273 (2021) - [i44]Mohamed Alzayat, Johnnatan Messias, Balakrishnan Chandrasekaran, Krishna P. Gummadi, Patrick Loiseau:
Modeling Coordinated vs. P2P Mining: An Analysis of Inefficiency and Inequality in Proof-of-Work Blockchains. CoRR abs/2106.02970 (2021) - [i43]Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum:
Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning. CoRR abs/2109.04432 (2021) - [i42]Johnnatan Messias, Mohamed Alzayat, Balakrishnan Chandrasekaran, Krishna P. Gummadi, Patrick Loiseau, Alan Mislove:
Selfish & Opaque Transaction Ordering in the Bitcoin Blockchain: The Case for Chain Neutrality. CoRR abs/2110.11740 (2021) - [i41]Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller:
Exploring Alignment of Representations with Human Perception. CoRR abs/2111.14726 (2021) - [i40]Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
On Fair Selection in the Presence of Implicit and Differential Variance. CoRR abs/2112.05630 (2021) - 2020
- [j20]Nuno Mota, Abhijnan Chakraborty, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari:
On the Desiderata for Online Altruism: Nudging for Equitable Donations. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 126:1-126:21 (2020) - [c115]Michiel A. Bakker, Humberto Riverón Valdés, Duy Patrick Tu, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, Alex Pentland:
Fair Enough: Improving Fairness in Budget-Constrained Decision Making Using Confidence Thresholds. SafeAI@AAAI 2020: 41-53 - [c114]Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi:
Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations. AAAI 2020: 181-188 - [c113]Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey, Krishna P. Gummadi:
Minimizing Margin of Victory for Fair Political and Educational Districting. AAMAS 2020: 1305-1313 - [c112]Abhijnan Chakraborty, Krishna P. Gummadi:
Fairness in Algorithmic Decision Making. COMAD/CODS 2020: 367-368 - [c111]Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
On Fair Selection in the Presence of Implicit Variance. EC 2020: 649-675 - [c110]Bashir Rastegarpanah, Mark Crovella, Krishna P. Gummadi:
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy. UMAP (Adjunct Publication) 2020: 260-267 - [c109]Gourab K. Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty:
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. WWW 2020: 1194-1204 - [i39]Gourab K. Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty:
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. CoRR abs/2002.10764 (2020) - [i38]Bashir Rastegarpanah, Mark Crovella, Krishna P. Gummadi:
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy. CoRR abs/2005.09209 (2020) - [i37]Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
On Fair Selection in the Presence of Implicit Variance. CoRR abs/2006.13699 (2020) - [i36]Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Muhammad Bilal Zafar:
Unifying Model Explainability and Robustness via Machine-Checkable Concepts. CoRR abs/2007.00251 (2020) - [i35]Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi:
On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction. CoRR abs/2010.14624 (2020)
2010 – 2019
- 2019
- [j19]Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, Karrie Karahalios:
Search bias quantification: investigating political bias in social media and web search. Inf. Retr. J. 22(1-2): 188-227 (2019) - [j18]Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi:
Optimizing the recency-relevance-diversity trade-offs in non-personalized news recommendations. Inf. Retr. J. 22(5): 447-475 (2019) - [j17]Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi:
Fairness Constraints: A Flexible Approach for Fair Classification. J. Mach. Learn. Res. 20: 75:1-75:42 (2019) - [j16]Nina Grgic-Hlaca, Christoph Engel, Krishna P. Gummadi:
Human Decision Making with Machine Assistance: An Experiment on Bailing and Jailing. Proc. ACM Hum. Comput. Interact. 3(CSCW): 178:1-178:25 (2019) - [j15]Mohsen Minaei, Mainack Mondal, Patrick Loiseau, Krishna P. Gummadi, Aniket Kate:
Lethe: Conceal Content Deletion from Persistent Observers. Proc. Priv. Enhancing Technol. 2019(1): 206-226 (2019) - [j14]Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum:
Operationalizing Individual Fairness with Pairwise Fair Representations. Proc. VLDB Endow. 13(4): 506-518 (2019) - [j13]Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi:
Editorial Versus Audience Gatekeeping: Analyzing News Selection and Consumption Dynamics in Online News Media. IEEE Trans. Comput. Soc. Syst. 6(4): 680-691 (2019) - [c108]Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi:
Loss-Aversively Fair Classification. AIES 2019: 211-218 - [c107]Krishna P. Gummadi:
Foundations for Fair Algorithmic Decision Making. EGC 2019: 3-4 - [c106]Abhijnan Chakraborty, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Patrick Loiseau:
Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations. FAT 2019: 129-138 - [c105]Mahmoudreza Babaei, Abhijnan Chakraborty, Juhi Kulshrestha, Elissa M. Redmiles, Meeyoung Cha, Krishna P. Gummadi:
Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking. FAT 2019: 139 - [c104]Filipe Nunes Ribeiro, Koustuv Saha, Mahmoudreza Babaei, Lucas Henrique C. Lima, Johnnatan Messias, Fabrício Benevenuto, Oana Goga, Krishna P. Gummadi, Elissa M. Redmiles:
On Microtargeting Socially Divisive Ads: A Case Study of Russia-Linked Ad Campaigns on Facebook. FAT 2019: 140-149 - [c103]Hoda Heidari, Michele Loi, Krishna P. Gummadi, Andreas Krause:
A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity. FAT 2019: 181-190 - [c102]Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum:
iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making. ICDE 2019: 1334-1345 - [c101]Hoda Heidari, Vedant Nanda, Krishna P. Gummadi:
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning. ICML 2019: 2692-2701 - [c100]Vitalii Emelianov, George Arvanitakis, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
The Price of Local Fairness in Multistage Selection. IJCAI 2019: 5836-5842 - [c99]Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi, Abhijnan Chakraborty:
Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform. KDD 2019: 3082-3092 - [c98]H. V. Jagadish, Francesco Bonchi, Tina Eliassi-Rad, Lise Getoor, Krishna P. Gummadi, Julia Stoyanovich:
The Responsibility Challenge for Data. SIGMOD Conference 2019: 412-414 - [c97]Bashir Rastegarpanah, Krishna P. Gummadi, Mark Crovella:
Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems. WSDM 2019: 231-239 - [c96]Krishna P. Gummadi, Hoda Heidari:
Economic Theories of Distributive Justice for Fair Machine Learning. WWW (Companion Volume) 2019: 1301-1302 - [c95]Giridhari Venkatadri, Piotr Sapiezynski, Elissa M. Redmiles, Alan Mislove, Oana Goga, Michelle L. Mazurek, Krishna P. Gummadi:
Auditing Offline Data Brokers via Facebook's Advertising Platform. WWW 2019: 1920-1930 - [c94]Abhijnan Chakraborty, Nuno Mota, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari:
On the Impact of Choice Architectures on Inequality in Online Donation Platforms. WWW 2019: 2623-2629 - [i34]Hoda Heidari, Vedant Nanda, Krishna P. Gummadi:
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning. CoRR abs/1903.01209 (2019) - [i33]Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla:
On the Fairness of Time-Critical Influence Maximization in Social Networks. CoRR abs/1905.06618 (2019) - [i32]Vitalii Emelianov, George Arvanitakis, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
The Price of Local Fairness in Multistage Selection. CoRR abs/1906.06613 (2019) - [i31]Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum:
Operationalizing Individual Fairness with Pairwise Fair Representations. CoRR abs/1907.01439 (2019) - [i30]Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey, Krishna P. Gummadi:
Minimizing Margin of Victory for Fair Political and Educational Districting. CoRR abs/1909.05583 (2019) - [i29]Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi:
Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly. CoRR abs/1909.10005 (2019) - [i28]Hanchen Wang, Nina Grgic-Hlaca, Preethi Lahoti, Krishna P. Gummadi, Adrian Weller:
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision. CoRR abs/1910.10255 (2019) - [i27]Michiel A. Bakker, Duy Patrick Tu, Humberto Riverón Valdés, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, Alex Pentland:
DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning. CoRR abs/1910.13983 (2019) - 2018
- [c93]Nina Grgic-Hlaca, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller:
Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning. AAAI 2018: 51-60 - [c92]Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Fabrício Benevenuto, Krishna P. Gummadi, Adrian Weller:
Purple Feed: Identifying High Consensus News Posts on Social Media. AIES 2018: 10-16 - [c91]Elissa M. Redmiles, John P. Dickerson, Krishna P. Gummadi, Michelle L. Mazurek:
Equitable Security: Optimizing Distribution of Nudges and Resources. CCS 2018: 2270-2272 - [c90]Till Speicher, Muhammad Ali, Giridhari Venkatadri, Filipe Nunes Ribeiro, George Arvanitakis, Fabrício Benevenuto, Krishna P. Gummadi, Patrick Loiseau, Alan Mislove:
Potential for Discrimination in Online Targeted Advertising. FAT 2018: 5-19 - [c89]Giridhari Venkatadri, Alan Mislove, Krishna P. Gummadi:
Treads: Transparency-Enhancing Ads. HotNets 2018: 169-175 - [c88]Niki Kilbertus, Adrià Gascón, Matt J. Kusner, Michael Veale, Krishna P. Gummadi, Adrian Weller:
Blind Justice: Fairness with Encrypted Sensitive Attributes. ICML 2018: 2635-2644 - [c87]Filipe Nunes Ribeiro, Lucas Henrique C. Lima, Fabrício Benevenuto, Abhijnan Chakraborty, Juhi Kulshrestha, Mahmoudreza Babaei, Krishna P. Gummadi:
Media Bias Monitor: Quantifying Biases of Social Media News Outlets at Large-Scale. ICWSM 2018: 290-299 - [c86]Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar:
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices. KDD 2018: 2239-2248 - [c85]Athanasios Andreou, Giridhari Venkatadri, Oana Goga, Krishna P. Gummadi, Patrick Loiseau, Alan Mislove:
Investigating Ad Transparency Mechanisms in Social Media: A Case Study of Facebooks Explanations. NDSS 2018 - [c84]Hoda Heidari, Claudio Ferrari, Krishna P. Gummadi, Andreas Krause:
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making. NeurIPS 2018: 1273-1283 - [c83]Asia J. Biega, Krishna P. Gummadi, Gerhard Weikum:
Equity of Attention: Amortizing Individual Fairness in Rankings. SIGIR 2018: 405-414 - [c82]Giridhari Venkatadri, Athanasios Andreou, Yabing Liu, Alan Mislove, Krishna P. Gummadi, Patrick Loiseau, Oana Goga:
Privacy Risks with Facebook's PII-Based Targeting: Auditing a Data Broker's Advertising Interface. IEEE Symposium on Security and Privacy 2018: 89-107 - [c81]Nina Grgic-Hlaca, Elissa M. Redmiles, Krishna P. Gummadi, Adrian Weller:
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction. WWW 2018: 903-912 - [i26]